My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
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Updated
Dec 6, 2021 - Python
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Discover hidden patterns and relationships in unstructured data with Python
Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
NLP with NLTK for Sentiment analysis amazon Products Reviews
t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Implementation of collaborative filtering using fastai and pytorch
ASAP : Automated Single-cell Analysis Pipeline
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
R package for dimensionality reduction of small datasets
Some examples of using PCA and t-SNE for dimensionality reduction in Python and R
A JavaScript Library for Dimensionality Reduction
Hacking sklearn's t-SNE implementation to animate embedding process
Explore high-dimensional datasets and how your algo handles specific regions.
🤘 Map out your musical taste on Spotify with machine learning
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